[::] Agentic Stacks

Reference: Candidate Sourcing Agent

reference

recruiting-sourcing

framework
Agent Framework
memory
Memory
retrieval
Retrieval / Vector Store
browser
Browser Automation
observability
Observability / Tracing
prompt_management
Prompt Management
deployment
Deployment Target
mcp_servers
MCP Servers
GR greenhouse LU linkedin-unofficial SM Slack MCP Server

Architectural notes

Reference architecture for a recruiter's sourcing agent: takes a role spec,
searches LinkedIn + GitHub + conference speaker lists, scores candidates,
drafts personalized outreach.

Why these picks:
- Gemini for the long-context candidate-profile reasoning.
- Zep for tracking outreach history per candidate over months.
- Stagehand over raw Playwright because LinkedIn's DOM is unstable.
- Greenhouse MCP for ATS round-trip.

Common gotchas:
- LinkedIn anti-bot defeats most naive scraping; budget for failures.
- Personalization quality drops fast if research input is shallow.

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